Integral evaluation of indicators in models of parametric and non-parametric analysis of variance. Use of the categorical principal component

In order to establish possible relations among statistical indicators in models of parametric and non-parametric analysis of variance, belonging to completely randomized and random block experimental designs, the categorical principal component analysis was used because they are quantitative and qua...

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Bibliografiska uppgifter
I publikationen:Revista Cubana de Ciencia Agrícola
Huvudupphovsmän: Magaly Herrera, Caridad Walkiria Guerra, Yolaine Medina
Materialtyp: Artigo
Språk:Inglês
Publicerad: Instituto de Ciencia Animal 2016
Ämnen:
Agrociencias
Statistical indicators
categorical principal component analysis
Länkar:https://www.redalyc.org/articulo.oa?id=193048877002
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